DC Field | Value | Language |
---|---|---|
dc.contributor.author | Shin, Hyungyu | ko |
dc.contributor.author | Sindi, Nabila | ko |
dc.contributor.author | Lee, Yoonjoo | ko |
dc.contributor.author | Ka, Jaeryoung | ko |
dc.contributor.author | Song, Jean Y | ko |
dc.contributor.author | Kim, Juho | ko |
dc.date.accessioned | 2022-10-06T08:00:31Z | - |
dc.date.available | 2022-10-06T08:00:31Z | - |
dc.date.created | 2022-09-27 | - |
dc.date.created | 2022-09-27 | - |
dc.date.created | 2022-09-27 | - |
dc.date.issued | 2022-03-03 | - |
dc.identifier.citation | 53rd Annual ACM Technical Symposium on Computer Science Education, SIGCSE 2022 | - |
dc.identifier.uri | http://hdl.handle.net/10203/298892 | - |
dc.description.abstract | We introduce XDesign, a web-based interactive platform that guides learners through a multi-stage design process for creating user-centered explanations of AI models. Results from a course deployment show that students were able to identify concrete user needs in interacting with explanations, highlight user tasks to support the needs, and design a user interface that aids the tasks. | - |
dc.language | English | - |
dc.publisher | Association for Computing Machinery, Inc | - |
dc.title | XDesign: Integrating Interface Design into Explainable AI Education | - |
dc.type | Conference | - |
dc.identifier.wosid | 000947124200051 | - |
dc.identifier.scopusid | 2-s2.0-85127431506 | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | 53rd Annual ACM Technical Symposium on Computer Science Education, SIGCSE 2022 | - |
dc.identifier.conferencecountry | US | - |
dc.identifier.conferencelocation | Virtual | - |
dc.identifier.doi | 10.1145/3478432.3499052 | - |
dc.contributor.localauthor | Kim, Juho | - |
dc.contributor.nonIdAuthor | Sindi, Nabila | - |
dc.contributor.nonIdAuthor | Ka, Jaeryoung | - |
dc.contributor.nonIdAuthor | Song, Jean Y | - |
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